[1] 江永全,林小惠,杨燕. 一种基于图卷积网络的分子结构预测方法. 中国, 国家知识产权局, CN202110637452.0, 已授权, 授权日期：2022-4-22.

[2]江永全,石乾宏,史鸿乐,陈强,姜涛,杨燕,范武波,李媛. 一种空气质量预测方法. 中国, 国家知识产权局,CN202310581242.3, 已授权, 授权日期：2023-07-28.

[3]杨燕,欧阳小草,江永全,张熠玲,周威. 一种基于领域自适应与知识迁移的交通流量预测方法. 中国, 国家知识产权局,CN202210665488.4, 已授权，授权日期：2023-06-23.

[4]杨燕,刘言,江永全. 一种基于扩散模型的夜间图像复原方法. 2023/05/12,中国, 国家知识产权局,CN202310534169.4, 已受理.

[5] 江永全, 张卫华, 权伟, 陈锦雄, 彭强, 杨燕.  基于主动光源的车辆控制系统、自动行驶车辆及系统. 2015/3/24，中国，国家知识产权局，201510127455.4，已受理

[6] 江永全, 张卫华, 陈锦雄, 彭强, 权伟.  一种基于编码图形的车辆定位方法.  2014/12/29，中国， 国家知识产权局， 201410836629.X，已受理      

[7] 权伟, 陈锦雄, 张卫华, 江永全, 何武.  基于多细胞块状态融合的对象跟踪方法. 2014/11/11，中国，国家知识产权局，2014106331953，已授权

[8] 权伟, 张卫华, 陈锦雄, 林国松, 何武, 江永全. 基于目标引导显著性检测的对象跟踪方法. 2015/01/22, 中国，国家知识产权局，201510031269.0. 已授权.

[9] 权伟, 李天瑞，赵丽平，陈锦雄，江永全. 一种基于像素多编码表匹配的对象跟踪方法. 2016/03/14, 中国，国家知识产权局，201610141645.6. 已受理.

[10] 权伟, 刘志刚, 陈锦雄, 江永全, 于小娟. 一种基于蒙特卡洛树搜索的对象跟踪方法. 2016/07/11, 中国，国家知识产权局，201610537417.0. 已受理.

1、轨道交通国家实验室筹建项目，高速列车数字化仿真系统，2011.6 - 2015.9，子项目负责人

2、四川省科技厅重点研发项目（2018GZ0365 ），基于深度学习的无轨自导向电车视觉导航，2018.1-2019.12，主持

3、航天部门委托横向项目，航天器包装箱仿真验证平台展示与可视化系统，2015.8-2017.1，主持

4、自然科学基金，基于多视图融合的序列数据深度学习模型研究，2020.01 – 2023.12，主研

5、自然科学基金，基于半监督学习的聚类集成机理及高效算法研究，2012.1 - 2015.12，主研

6、自然科学基金，基于偏微分方程的高速列车头型三维参数化建模与空气动力学优化，2015.1 - 2018.12，主研

7、自然科学基金，基于人机共建智慧平台的语义搜索引擎，2012.1 - 2012.12，主研

8、四川省科技支撑计划，超声及声学造影特征提取与半监督聚类集成学习在甲状腺肿瘤诊断中的方法与应用研究，2015.1 - 2016.12，主研

9、中央高校基本科研业务费专项资金科技创新项目，2012.1 - 2014.12，主持

10、牵引动力国家重点实验室自主课题，高速列车碰撞变形过程的运动捕捉及三维重建，2013.1 - 2013.12，主研

11、牵引动力国家重点实验室自主课题，基于视频的三维动态测量关键技术研究，2014.1 - 2014.12，主研

12、自然科学基金面上项目，多视图半监督聚类集成方法及应用研究，2016.1 - 2019.12，主研

13、牵引动力国家重点实验室自主课题，虚拟轨道视频辨识技术，2014.1-2014.12，主研

14、自然科学基金青年项目，类内区分驱动的目标跟踪关键问题研究，2018.1-2020.12，主研

我的Google学术首页

SCI论文：

[13] Liyuan Zhang, Yongquan Jiang*, Yan Yang. GNNGO3D: Protein Function Prediction Based on 3D Structure and Functional Hierarchy Learning[J]. IEEE Transactions On Knowledge And Data Engineering, 2024, 36(8): 3867-3878. (JCR一区，中科院一区, CCF-A类) Paper    公众号文章

[12] Wang J, Yang Y*, Jiang Y, et al. Cross-modal incongruity aligning and collaborating for multi-modal sarcasm detection[J]. Information Fusion, 2024, 103: 102132. (JCR一区，中科院一区)

[11] Liu Y, Yang Y*, Jiang Y, et al. Multi-view orientational attention network combining point-based affinity for polyp segmentation[J]. Expert Systems with Applications, 2024, 249: 123663. (JCR一区，中科院一区)

[10] Yuting Zhou, Yongquan Jiang*, Yan Yang. AGAT-PPIS: a novel protein–protein interaction site predictor based on augmented graph attention network with initial residual and identity mapping[J]. Briefings in Bioinformatics, 2023-4-3, 24(3): 1-8.  (JCR一区，中科院一区，CCF-B类)  Paper   Code   公众号文章

[9] Yuerui Liu, Yongquan Jiang*, Fan Zhang, Yan Yang. A Novel Multi-Scale Graph Neural Network for Metabolic Pathway Prediction[J]. IEEE-ACM Transactions on Computational Biology and Bioinformatics, 2023-12-21. (JCR一区, 中科院二区, CCF-B类)  Paper  公众号文章

[8] Haozhe Hu, Yongquan Jiang*, Yan Yang, Jim X. Chen. BiG2S: A dual task graph-to-sequence model for the end-to-end template-free reaction prediction [J]. Applied Intelligence, 2023(53): 29620–29637. (JCR二区,  中科院二区) Paper   Code   公众号文章

[7] Xiaohui Lin, Yongquan Jiang*, Yan Yang. Molecular distance matrix prediction based on graph convolutional networks[J]. Journal of Molecular Structure,2022(1257):132540. (JCR二区, 中科院二区) Paper   Code    公众号文章

[6] Baoying Liu, Yongquan Jiang*, Yan Yang, Jim X. OmeDDG: Improved protein mutation stability prediction based on predicted 3D structures[J]. Journal of Physical Chemistry B, 2024, 128(1): 67-76.  Paper   Code

[5] Zhang Wendong, Zhang Fan, Chen Wei, Jiang Yongquan*, Song Dongli. Fault State Recognition of Rolling Bearing Based Fully Convolutional Network [J]. COMPUTING IN SCIENCE & ENGINEERING,2019, 21(5): 55-63. (SCI检索号：000481957300007)

[4] Guo Chao, Yang Yan, Jiang Yongquan, Li Tianrui. Condition Analysis of a High-Speed Train Based on Similarity Ratio and MDBN [J]. COMPUTING IN SCIENCE & ENGINEERING, 2020, 22(1): 64-76. (SCI检索号：000506612800007)

[3] Quan Wei, Jiang Yongquan*, Zhang Jianjun, Chen Jim X. Robust object tracking with active context learning [J]. VISUAL COMPUTER, 2015, 31(10): 1307-1318. (JCR二区, SCI检索号：000360759800002)

[2] Sun Hao, Chen Jim X, Wechsler Harry, Jiang Yongquan. A New Segmentation Method for Broadcast Sports Video [C] // IEEE 17th International Conference on Computational Science and Engineering (CSE), Chengdu, China, Dec 2014, pp. 1789-1793. (SCI检索号：000380512100293)

[1] Yongquan Jiang, Li Chen, Qishu Chen, Qiang Peng, and Jim X. Chen. Computing Discrete Minimal Surfaces Using a Nonlinear Spring Model [J]. Computing in Science and Engineering, 2010, 12(6):74-79. (SCI检索号：000283925600011)

EI论文：

[16] Guikun Xu, Yongquan Jiang*, PengChuan Lei, Yan Yang, Jim Chen. GTMGC: Using Graph Transformer to Predict Molecule’s Ground-State Conformation [C] // The Twelfth International Conference on Learning Representations(ICLR), 2024. ( Spotlights Paper, 接收率仅5%, 深度学习领域的顶会) Paper   公众号文章

[15] ZhuyangXie, Yan Yang, YankaiYu, Jie Wang, Yongquan Jiang, Xiao Wu. Exploring Temporal Event Cues for Dense Video Captioning in Cyclic Co-learning[C] // AAAI 2025. (Accepted, CCF-A类会议）

[14] Yu S, Jiang Y*, Yang Y. FWBP: A New Generative Modeling Scheme[C]//2024 7th International Conference on Artificial Intelligence and Big Data (ICAIBD). IEEE, 2024: 277-282.

[13] Feng C, Jiang Y*, Yang Y. Relation-Aware Feature Refinement Based on Transformer for Drug-Drug Interaction[C]//2024 7th International Conference on Artificial Intelligence and Big Data (ICAIBD). IEEE, 2024: 345-350.

[12] Qi Y, Jiang X, Jiang Y*, et al. Antimicrobial Peptide Sequence Generation Based on Conditional Diffusion Model[C]//Proceedings of the 2024 16th International Conference on Bioinformatics and Biomedical Technology. 2024: 102-107.

[11] Leng X, Yang Y*, Jiang Y, et al. A Road Surface Defect Segmentation Model Based on GLoRA and Multi-Scale Completeness[C]//2024 IEEE International Conference on Big Data and Smart Computing (BigComp). IEEE, 2024: 48-55.

[10] Haozhe Hu, Yongquan Jiang*, Yan Yang, Jim X. Chen. Enhanced Template-Free Reaction Prediction with Molecular Graphs and Sequence-based Data Augmentation [C] // Proceedings of the 32nd ACM International Conference on Information and Knowledge Management (CIKM), 2023-10-21, pp. 813–822. (CCF-B类会议)       Paper       Code       公众号文章    

[9] Yongfu Fan, Jin Chen, Yongquan Jiang, Defu Lian, Fangda Guo, and Kai Zheng*. Batch-Mix Negative Sampling for Learning Recommendation Retrievers[C] // Proceedings of the 32nd ACM International Conference on Information and Knowledge Management(CIKM), 2023.(CCF-B类会议) Paper

[8] Xueying Peng，Yan Yang，Yongquan Jiang，Yiling  Zhang，Yingjun Zhang. Application of Graph Convolutional Network to  Unknown Compound Faults Diagnosis [C] // 14th International FLINS Conference  (FLINS 2020), pp. 677-684.

[7] Yingjun Zhang, Yongquan Jiang*, Yan Yang, Yuxiao  Gou, Weihua Zhang. Unknown Compound Faults Diagnosis of High Speed Train  Based on Capsule Network [C] // Proceedings of IEEE 14th International  Conference on Intelligent Systems and Knowledge Engineering, ISKE, Da-lian, China, 2019, 576-583.（EI检索号：20203909249603）

[6] Rao Qi, Yang Yan, Jiang Yongquan. Condition  recognition of high-speed train bogie based on multi-view kernel FCM  [J].  Big Data Mining and Analytics, 2019, 2(1): 1-11. （EI检索号：20205109633361）  

[5] Quan Wei, Chen Jinxiong, Jiang Yongquan, Yu Nanyang, Xing Qi. Hierarchical detection based location for anterior cruciate ligament of human's knee [J]. 计算机辅助设计与图形学报, 2013, 25(12): 1862-1867. (EI检索号：20140217179634)

[4] Quan Wei, Chen Jinxiong, Jiang Yongquan, Yu Nanyang. Real-time object tracking based on Hough ferns [J]. 西南交通大学学报, 2014, 49(3): 477-484. (EI检索号：20142817924648)

[3] Yang Yan, Jin Fan, Jiang Yongquan. Ant-Based Document Clustering and Visualization[C]// Second IFIP Conference on Artificial Intelligence Applications and Innovations (AIAI’05), Beijing, China, Sept. 2005, pp.180-187. (EI检索号：20132616443149)

[2] 江永全, 彭强, 陈锦雄. 未标定图像序列的隐式曲面重建方法, 西南交通大学学报, 2009, 44 ( 5 ): 677-681. (EI检索号: 20095312588599)

[1] Jiang Yongquan, Jim X. Chen, PENG Qiang, Harry Wechsler, YANG Wenzhen. Geometric Transformation of the RBF Implicit Surface [C] // ACM SIGGRAPH Sponsored 9th International Conference on VRCAI. 2010, pp.277-284. (EI检索号：20110813693982)

1）人工智能与新药物发现、新材料发现

2）人工智能与计算机视觉、故障诊断、信号处理